memononen/nanovg

Antialiased 2D vector drawing library on top of OpenGL for UI and visualizations.

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Summary Information

Updated 25 minutes ago
Added to GitGenius on September 11th, 2026
Created on November 12th, 2013
Open Issues & Pull Requests: 321 (+0)
GitHub issues: Enabled
Number of forks: 806
Total Stargazers: 5,704 (+0)
Total Subscribers: 232 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 28.2 hours
Mean response time: 196.4 days
90th percentile: 880.4 days
Tracked items: 7

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Issue Activity (beta)

Open issues: 6
New in 7 days: 0
Closed in 7 days: 0
Avg open age: 974 days
Stale 30+ days: 4
Stale 90+ days: 3

Recent activity

Opened in 7 days: 0
Closed in 7 days: 0
Comments in 7 days: 0
Events in 7 days: 0

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Detailed Description

NanoVG is a 2D vector drawing library that renders antialiased graphics using OpenGL as its backend.

The library solves the problem of drawing smooth, resolution-independent vector graphics in applications that need UI elements or data visualizations. It works by providing a simple API for drawing paths, shapes, and text that are rendered with antialiasing directly through OpenGL, avoiding the need to pre-rasterize graphics or manage complex rendering pipelines. The approach is designed to be lightweight and efficient for real-time rendering scenarios.

Developers should consider NanoVG for projects that require immediate-mode vector drawing in OpenGL-based applications, particularly for game UIs, data visualization overlays, or custom interface elements. It suits situations where you control the rendering context and want direct access to vector drawing without heavyweight dependencies. The library is written in C, making it suitable for integration into C and C++ projects. It is not intended as a replacement for full-featured vector graphics libraries or for applications that need extensive text layout and typography features.

The project shows sparse but consistent maintenance activity, with occasional bug fixes and minor improvements appearing over extended periods. Pull requests receive responses from the maintainer, though the pace of merging changes is deliberate rather than rapid. The codebase remains relatively stable with infrequent breaking changes, suggesting the API has reached a mature state. Documentation is minimal beyond the README and inline code comments, placing the burden on developers to study the examples and source code to understand advanced usage patterns.